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                <i class="fas fa-smile me-2"></i>微表情检测系统
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                        <i class="fas fa-info-circle me-2"></i>关于微表情检测系统
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                        <h4 class="mb-3">项目介绍</h4>
                        <p>微表情检测系统是一个基于深度学习的应用程序，旨在通过计算机视觉技术自动识别和分析人类面部微表情。微表情是短暂且不自主的面部表情，通常持续时间仅为0.04-0.5秒，是人们情绪泄露的重要指标。</p>
                        
                        <p>本系统利用Swin Transformer 3D模型进行情绪识别，能够有效地捕捉人脸的时空特征，实现高精度的微表情识别。</p>
                        
                        <h4 class="mt-4 mb-3">技术实现</h4>
                        <p>本系统采用以下技术栈实现：</p>
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                            <li><strong>前端</strong>：HTML5, CSS3, JavaScript, Bootstrap 5</li>
                            <li><strong>后端</strong>：Python, Flask</li>
                            <li><strong>计算机视觉</strong>：OpenCV, PyTorch</li>
                            <li><strong>深度学习模型</strong>：Swin Transformer 3D</li>
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                        <h4 class="mt-4 mb-3">微表情的重要性</h4>
                        <p>微表情在以下领域具有重要应用价值：</p>
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                            <li><strong>心理学研究</strong>：帮助心理学家更好地理解人类情绪表达</li>
                            <li><strong>安全领域</strong>：辅助安检人员识别可疑行为</li>
                            <li><strong>医疗健康</strong>：辅助医生评估患者的心理状态</li>
                            <li><strong>商业营销</strong>：分析消费者对产品的真实情感反应</li>
                            <li><strong>教育领域</strong>：帮助教师了解学生的学习情绪状态</li>
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                        <h4 class="mt-4 mb-3">系统功能</h4>
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                                    <h5>视频分析</h5>
                                    <p>上传视频文件进行微表情检测和情绪分析，生成时间轴情绪变化图。</p>
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                                    <h5>图像分析</h5>
                                    <p>分析单张图像中的面部表情，识别主要情绪类型及其概率分布。</p>
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                                    <h5>情绪可视化</h5>
                                    <p>生成直观的图表展示情绪分布，帮助用户理解情绪变化趋势。</p>
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                                    <h5>结果导出</h5>
                                    <p>将分析结果导出为视频或报告，方便用户进一步使用和分享。</p>
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                        <i class="fas fa-users me-2"></i>开发团队
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                                    <h5 class="mt-3">张三</h5>
                                    <p class="text-muted">项目负责人</p>
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                                    <h5 class="mt-3">李四</h5>
                                    <p class="text-muted">算法工程师</p>
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                                    <h5 class="mt-3">王五</h5>
                                    <p class="text-muted">前端开发</p>
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